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Data visualization

Data visualization is the visual depiction of data through the use of graphs, plots, and informational graphics. Its practitioners use statistics and data science to convey the meaning behind data in ethical and accurate ways.

Here are 15,986 public repositories matching this topic...

Run, compile and execute JavaScript for Scientific Computing and Data Visualization TOTALLY TOTALLY TOTALLY in your BROWSER! An open source scientific computing environment for JavaScript TOTALLY in your browser, matrix operations with GPU acceleration, TeX support, data visualization and symbolic computation.

  • Updated Nov 29, 2022
  • TypeScript

📈📊📱💻🖥️An elegant modern declarative data visualization chart framework for iOS, iPadOS and macOS. Extremely powerful, supports line, spline, area, areaspline, column, bar, pie, scatter, angular gauges, arearange, areasplinerange, columnrange, bubble, box plot, error bars, funnel, waterfall and polar chart types. 极其精美而又强大的现代化声明式数据可视化图表框架,支持柱状图、条形图、折线图、曲线图、折线填充图、曲线填充图、气泡图、扇形图、环形图、散点图、雷达图、混合图等各种类型的多达几十种的信息图图表,完全满足工作所需.

  • Updated Nov 25, 2022
  • Swift

AnyChart Android Chart is an amazing data visualization library for easily creating interactive charts in Android apps. It runs on API 19+ (Android 4.4) and features dozens of built-in chart types.

  • Updated Oct 11, 2021
  • Java
Linear-Algebra-With-Python

Lecture Notes for Linear Algebra Featuring Python. This series of lecture notes will walk you through all the must-know concepts that set the foundation of data science or advanced quantitative skillsets. Suitable for statistician/econometrician, quantitative analysts, data scientists and etc. to quickly refresh the linear algebra with the assistance of Python computation and visualization.

  • Updated Mar 23, 2022
  • Jupyter Notebook

📈📊☕️☕️☕️An elegant modern declarative data visualization chart framework for Android. Extremely powerful, supports line, spline, area, areaspline, column, bar, pie, scatter, angular gauges, arearange, areasplinerange, columnrange, bubble, box plot, error bars, funnel, waterfall and polar chart types.极其精美而又强大的 Android 数据可视化图表框架,支持柱状图、条形图、折线图、曲线图、折线填充图、曲线填充图、气泡图、扇形图、环形图、散点图、雷达图、混合图等各种类型的多达几十种的信息图图表,完全满足工作所需.

  • Updated Nov 17, 2022
  • Java
abixen-platform

Abixen Platform is a microservices based software platform for building enterprise applications delivering functionalities through creating particular microservices and integrating by provided CMS.

  • Updated Jun 21, 2022
  • Java
retentioneering-tools

Retentioneering: product analytics, data-driven customer journey map optimization, marketing analytics, web analytics, transaction analytics, graph visualization, and behavioral segmentation with customer segments in Python. Opensource analytics, predictive analytics over clickstream, sentiment analysis, AB tests, machine learning, and Monte Carlo Markov Chain simulations, extending Pandas, Networkx and sklearn.

  • Updated May 12, 2022
  • Python
augur

Python library and web service for Open Source Software Health and Sustainability metrics & data collection. You can find our documentation and new contributor information easily here: https://chaoss.github.io/augur/ and learn more about Augur at our website https://augurlabs.io

  • Updated Nov 30, 2022
  • Python
emerge

Emerge is a source code and dependency visualizer that can be used to gather insights about source code structure, metrics, dependencies and complexity of software projects. After scanning the source code of a project it provides you an interactive web interface to explore and analyze your project by using graph structures.

  • Updated Oct 31, 2022
  • Python

Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.

  • Updated Nov 29, 2020
  • Jupyter Notebook

AnyChart is a lightweight and robust JavaScript charting solution with great API and documentation. The chart types and unique features are numerous, the library works easily with any development stack.

  • Updated Nov 28, 2022
  • JavaScript

Data Science Hacks consists of tips, tricks to help you become a better data scientist. Data science hacks are for all - beginner to advanced. Data science hacks consist of python, jupyter notebook, pandas hacks and so on.

  • Updated Nov 9, 2022
  • Jupyter Notebook

【在开发2.x版本,暂时关闭站点!新版大屏beta 版本,全实时数据,交互式大屏,精确到城市级,弹幕来袭】关注2019新型冠状病毒(2019-nCoV),数据可视化感染人群热点图、迁徙扩散轨迹,以提供帮助分析疫情。 愿世界安好。Focus on Wuhan 2019-nCoV, data visualization, to help analyze the epidemic situation. May the world be well.

  • Updated Nov 22, 2022
  • TypeScript

Matplotlib is an amazing visualization library in Python for 2D plots of arrays. Matplotlib is a multi-platform data visualization library built on NumPy arrays and designed to work with the broader SciPy stack. It was introduced by John Hunter in the year 2002. One of the greatest benefits of visualization is that it allows us visual access to huge amounts of data in easily digestible visuals. Matplotlib consists of several plots like line, bar, scatter, histogram, etc

  • Updated Jun 13, 2022
  • Jupyter Notebook
Data-Science-Resources

Seaborn is one of the go-to tools for statistical data visualization in python. It has been actively developed since 2012 and in July 2018, the author released version 0.9. This version of Seaborn has several new plotting features, API changes and documentation updates which combine to enhance an already great library. This article will walk through a few of the highlights and show how to use the new scatter and line plot functions for quickly creating very useful visualizations of data.

  • Updated Jun 13, 2022
  • Jupyter Notebook
ML-CaPsule

ML-capsule is a Project for beginners and experienced data science Enthusiasts who don't have a mentor or guidance and wish to learn Machine learning. Using our repo they can learn ML, DL, and many related technologies with different real-world projects and become Interview ready.

  • Updated Jun 7, 2022
  • Jupyter Notebook

📈 Application for statistical analysis and data visualization which can generate different types of publication quality 2D and 3D plots with extensive visual customization.

  • Updated Sep 12, 2022
  • C++

Unity 3D's Gradient is a handy data type but comes with some limitations: for example you cannot set more than 8 color keys in its editor and RGB is the only color space available. ColorBand data type offers an alternative with less limitations. Creating ColorBands is fun and easy; they are stored as assets and can be accessed from code through an Evaluate method to get the color at time t, as for Gradient. RGB (or HSV) values are described by individual curves, allowing a better control over how the color function evolves between your points. Color bands are used in all kinds of applications including games, data visualization and other fields.

  • Updated Dec 7, 2018
  • C#

可视化低代码快速开发平台,面向业务、企业管理系统定制开发平台和应用平台,包括设计器、应用端。提供业务配置和集成开发能力,用户通过可视化拖拉拽配置式操作即可快速构建出能同时在PC和移动端运行的各类管理系统,对于企业客户的信息系统在管理模式、业务流程、表单界面、数据可视化展示、IoT管控等个性化需求,可以通过设计器,快速的进行个性化配置。并支持企业微信,公众号,钉钉等移动集成,实现用户跨区域移动办公。从而构建企业个性化的行业应用、集成应用和复杂的业务报表。

  • Updated Nov 18, 2020
  • JavaScript

It is a Natural Language Processing Problem where Sentiment Analysis is done by Classifying the Positive tweets from negative tweets by machine learning models for classification, text mining, text analysis, data analysis and data visualization

  • Updated May 14, 2019
  • Jupyter Notebook

An Open Source PHP Reporting Framework that helps you to write perfect data reports or to construct awesome dashboards in PHP. Working great with all PHP versions from 5.6 to latest 8.0. Fully compatible with all kinds of MVC frameworks like Laravel, CodeIgniter, Symfony.

  • Updated Oct 3, 2022
  • PHP
Skytrax-Data-Warehouse

A full data warehouse infrastructure with ETL pipelines running inside docker on Apache Airflow for data orchestration, AWS Redshift for cloud data warehouse and Metabase to serve the needs of data visualizations such as analytical dashboards.

  • Updated Apr 19, 2020
  • Python
SVG-World-Map

🗺 A JavaScript library to easily integrate one or more SVG world maps with all nations (countries) and second-level political subdivisions (countries, provinces, states).

  • Updated Jun 15, 2021
  • JavaScript

The open and data visualization and interactive dashboards platform. Layers can draggable resizable scalable rotatable groupable locked. Use react, vue2, vue3 custom components. Event handler, Dynamic script 大屏数据可视化,轻业务开发,低代码平台,可视化编辑器,支持图层锁定、群组、对齐、排序,支持使用react、vue2和vue3自定义组件,支持拖拽可视化布局、事件交互、动态脚本、跨终端交互同步和跨屏联动交互

  • Updated May 6, 2022
  • TypeScript

Twitter Trends is a web-based application that automatically detects and analyzes emerging topics in real time through hashtags and user mentions in tweets. Twitter being the major microblogging service is a reliable source for trends detection. The project involved extracting live streaming tweets, processing them to find top hashtags and user mentions and displaying details for each trending topic using trends graph, live tweets and summary of related articles. It also included Topic Modelling and Entity Categorization to classify the tweets and extract valuable information about its contents and find similar tweets and related articles and URLs. A trending topic is represented as a word cloud created from set of keywords (hashtags or user mentions) that belong to that topic. Thus this application provides the required information to get an overhaul of the topics which are trending at that particular time. This data can be used to support social analysis, finance, marketing or news tracking.

  • Updated May 23, 2017
  • Python
LinkedInGiveAway
SyntheticSun

SyntheticSun is a defense-in-depth security automation and monitoring framework which utilizes threat intelligence, machine learning, managed AWS security services and, serverless technologies to continuously prevent, detect and respond to threats.

  • Updated Jul 8, 2021
  • Python
Stock_Market_Data_Analysis

Scrape, analyze & visualize stock market data for the S&P500 using Python. Build a basic trading strategy using machine learning to assess company performance and determine buy, sell, hold. Read me & instructions available in Spanish. This is a working repo, with plans to expand the project from technical analysis to fundamental analysis.

  • Updated Aug 7, 2020
  • Jupyter Notebook

Data Visualizations is emerging as one of the most essential skills in almost all of the IT and Non IT Background Sectors and Jobs. Using Data Visualizations to make wiser decisions which could land the Business to make bigger profits and understand the root cause and behavioral analysis of people and customers associated to it. In this Repository I have deeply discussed about Line Plots, Bar plots, Scatter Plots, and Pie Charts, Apart from that I have Discussed scientific plots, 3d plots, animated plots, interactive plots to visualize any kind of business problem and that too of any complexity.

  • Updated May 19, 2020
  • Jupyter Notebook

R tool for automated creation of ggplots. Examines one, two, or three variables and creates, based on their characteristics, a scatter, violin, box, bar, density, hex or spine plot, or a heat map. Also automates handling of observation weights, log-scaling of axes, reordering of factor levels, and overlays of smoothing curves and median lines.

  • Updated Jun 27, 2019
  • R

Basic Primitives Diagrams for JavaScript - data visualization components library that implements organizational chart and multi-parent dependency diagrams, contains implementations of JavaScript Controls and PDF rendering plugins.

  • Updated Nov 16, 2022
  • JavaScript

Anita is a private, no-server, powerful and fully customizable data management solution, open source and free of charge. With Anita you can organize any number of things you want to track, with one of our pre-configured Anita Templates or by defining your own custom data structure. Anita can handle many different data types, and can present your data in multiple useful ways.

  • Updated Nov 28, 2022
  • TypeScript

collections of data science, machine learning and data visualization projects with pandas, sklearn, matplotlib, tensorflow2, Keras, various ML algorithms like random forest classifier, boosting, etc

  • Updated Apr 4, 2022
  • Jupyter Notebook

Detecting Frauds in Online Transactions using Anamoly Detection Techniques Such as Over Sampling and Under-Sampling as the ratio of Frauds is less than 0.00005 thus, simply applying Classification Algorithm may result in Overfitting

  • Updated May 23, 2019
  • Jupyter Notebook

“Data science” is just about as broad of a term as they come. It may be easiest to describe what it is by listing its more concrete components: Data exploration & analysis. Included here: Pandas; NumPy; SciPy; a helping hand from Python's Standard Library.

  • Updated Apr 16, 2020
  • Jupyter Notebook

Coronavirus disease 2019 (COVID-19) is an infectious disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2).Coronavirus disease 2019 (COVID-19) is an infectious disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). It was first identified in December 2019 in Wuhan, China, and has since spread globally, resulting in an ongoing pandemic. Long Short Term Memories(LSTMs) can solve numerous tasks not solvable by previous learning algorithms for recurrent neural networks (RNNs). LSTM is applicable to tasks such as unsegmented, connected handwriting recognition, speech recognition and anomaly detection in network traffic or IDS's (intrusion detection systems). LSTMs can also be efficiently applied for time-series predictions. In this project, its shows a four stacked LSTM network for early prediction new Coronavirus dissease infections in some of the mentioned affected countries (India, USA, Czech Republic and Russia) , which is based on real world data sets which are analyzed using various perspectives like day-wise number of confirmed cases, number of Cured cases, death cases. This attempt has been done to help the concerned authorities to get some early insights into the probable devastation likely to be effected by the deadly pandemic.

  • Updated May 17, 2020
  • Python

The repository provides an in-depth analysis and forecast of a time series dataset as an example and summarizes the mathematical concepts required to have a deeper understanding of Holt-Winter's model. It also contains the implementation and analysis to time series anomaly detection using brutlag algorithm.

  • Updated Jun 4, 2021
  • Jupyter Notebook

Regular practice on Data Science, Machien Learning, Deep Learning, Solving ML Project problem, Analytical Issue. Regular boost up my knowledge. The goal is to help learner with learning resource on Data Science filed.

  • Updated Jul 27, 2022
  • Jupyter Notebook

A Python library for Automated Exploratory Data Analysis, Automated Data Cleaning, and Automated Data Preprocessing For Machine Learning and Natural Language Processing Applications in Python.

  • Updated May 7, 2022
  • Jupyter Notebook

Can we quickly summarize & visualize text to get the details about the unstructured data? Yes we can! Please review this code pattern for all the steps involved to quickly summarize & visualize the data.

  • Updated May 11, 2021
  • Jupyter Notebook

This repository contains the laboratory portion of an upper level undergraduate class in Python on data visualization and statistics for geo & space scientists. Labs are updated when the course is in session through the most recent branch. See master version for current class.

  • Updated Aug 29, 2020
  • Jupyter Notebook
dashboard-demo

This is demonstration of Dashboard Framework which is an framework built with PHP and on top of KoolReport Pro to facilitate dashboard construction. It contains a sleek design of modern dashboard, strong data handling and myriad of types of data visualization.

  • Updated Nov 24, 2022
  • PHP

竞赛项目集合:Rossmann销售预测(Top3%)、HousePrices(Top34%)、数字识别(Top78%)、泰坦尼克(Top83%)、能源预测③(Top36%)、未来价格预测(Top37%)、NFL大数据碗(Top61%)、厄瓜多尔连锁超市销售预测(Top48%)、StoreItemPredict(Top34%)、餐厅顾客预测(Top37%)、谷歌流量预测(Topxxx)

  • Updated Dec 10, 2020
  • Jupyter Notebook

This program predicts the price of GOOG stock for a specific day using the Machine Learning algorithm called Support Vector Regression (SVR) Linear Regression. Importing flask module in the project is mandatory An object of Flask class is our WSGI application.

  • Updated Jan 26, 2020
Kaggle-Predicting-Future-Sales

Fixed Width Data Visualizer plugin for Notepad++. Turns Notepad++ into Excel for fixed-width data files. Displays cursor position data. Jumps to specific fields. Folding Record Blocks. Extracts Data. Builtin dialogs to configure file-type, record-type & fields; Themes & Colors; and Folding. Handles homogenous, mixed & multi-line records.

  • Updated Nov 20, 2022
  • C++

Foundations of Data Science with Python, by John M. Shea, teaches how to begin working with data, create visualizations, conduct statistical tests using resampling, perform analyses and make optimal decisions based on probability theory, and manipulate multi-dimensional data using linear algebra.

  • Updated Nov 19, 2022
  • Jupyter Notebook
feed-visualizer

Feed Visualizer creates interactive visualizations by clustering RSS/Atom feed items based on semantic similarity. Feed Visualizer also attempts to automatically predict the labels for each cluster. This application will create a "semantic summary" of a website's contents by scanning its RSS/Atom feed, allowing for easy discovery and navigation to topics of interest. Feed Visualizer creates interactive visualizations in the form of static HTML and JS files, which may be edited and sent to a server.

  • Updated Jul 9, 2022
  • HTML

Created by Charles Joseph Minard

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data-visualization · GitHub Topics